AI
Artificial intelligence: machine learning, neural networks, large language models, deep learning, AI research, and AI tools.
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skillsaw skillsaw.org
Configurable linter for the files that steer AI coding agents, including skills, plugins, instruction files, hooks, and related configuration. Detects structural, content-quality, and security issues and provides deterministic autofixes, baselines, and CI-ready output.
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Repowise repowise.dev
Deterministic, zero-LLM code-health analysis. Scores every file 1-10 for defect risk, maintainability, and performance from 25 markers: McCabe complexity, LCOM4 cohesion, god classes, Rabin-Karp clone detection, change entropy, and untested hotspots. Adds a dependency graph…
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Qwiet AI qwiet.ai
copyright: — Identify vulnerabilities that are unique to your code base before they reach production. Leverages the Code Property Graph (CPG) to run its analyses concurrently in a single graph of graphs. Automatically finds business logic flaws in dev like hardcoded secrets and…
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LintLang lintlang.ai
Static linter for natural-language instructions that control AI agents. Detects ambiguous tool descriptions, missing limits, conflicting directives, and schema gaps in local files and CI without model or network calls.
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Kin kinlab.ai
A graph-native code repository for people and AI agents. Kin parses supported languages into code entities and their relationships (calls, references, imports, inheritance) and versions them with the source. The kin CLI and an MCP server query the same graph for callers…
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Inkog inkog.io
AI agent security scanner. Detects behavioral vulnerabilities (prompt injection, infinite loops, token bombing, SQL injection via LLM) across 11 framework adapters including LangChain, CrewAI, and pydantic-ai. Audits MCP servers. Maps findings to EU AI Act, OWASP LLM Top 10…
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Clayton getclayton.com
copyright: — AI-powered code reviews for Salesforce. Secure your developments, enforce best practice and control your technical debt in real-time.
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Enforster AI enforster.ai
copyright: — Enforster AI performs Contextual Code Security SAST, leveraging LLMs and artificial intelligence to reduce and enrich the detection of Logic Flaws, Secrets, Data leaks, Supply chain and technical vulnerabilities.
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Diffblue diffblue.com
copyright: — Diffblue is a software company that provides AI-powered code analysis and testing solutions for software development teams. Its technology helps developers automate testing, find bugs, and reduce manual labor in their software development processes. The company's…
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Whoa, Google’s AI Is Really Good at Pictionary wired.com
Sketch-based search.
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Can Deep Learning help solve Deep Learning theverge.com
Information Retrieval from Lip Reading.
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Neural Network Learns to Identify Criminals by Their Faces technologyreview.com
Information Extraction.
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Deep Neural Network Learns to Judge Books by Their Covers technologyreview.com
Information Extraction.
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Advanced Cross Linugal Information Retrieval and Question Answering (ACLIA) research.nii.ac.jp
The dataset is used for the task of cross-lingual question answering but the complexity of the task is higher than CLQA dataset.
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Apache Lucene lucene.apache.org
Open Source Search Engine that can be used to test Information Retrieval Algorithm. Twitter uses this core for its real-time search.
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Lemur Toolkit lemurproject.org
Open Source Toolkit for research in Language Modeling, filtering and categorization.
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To reduce biases in machine learning start with openly discussing the problem enterprisersproject.com
Bias in Relevance.
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Information Retrieval: A Survey csee.umbc.edu
Ed Greengrass, 2000. (Comprehensive survey of Conventional Information Retrieval, before Deep Learning era).
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Corgea corgea.com
copyright: — Corgea is an AI-powered SAST scanner that helps developers find and fix insecure code. It finds business logic flaws, broken authentication, API vulnerabilities, and more with little false positives. Additionally, it automatically writes security fixes for them to…
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SWE-bench swebench.com
SWE-bench is a benchmark designed to evaluate the ability of AI models to solve real-world software engineering problems by generating fixes for issues found in open-source code repositories.
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Facebook's AI Painting@Wired wired.com
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Tutorial on Deep Learning in Computer Vision sites.google.com
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[Web] robots.ox.ac.uk
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Implementing Neural networks peterroelants.github.io
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[Paper] papers.nips.cc
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[Paper] papers.nips.cc
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Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville iro.umontreal.ca
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leaderboards host.robots.ox.ac.uk
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Inceptionism: Going Deeper into Neural Networks@Google Research googleresearch.blogspot.kr
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Deep Learning Tutorial by LISA lab, University of Montreal deeplearning.net
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Pylearn2 deeplearning.net
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Deep down the rabbit hole: CVPR 2015 and beyond@Tombone's Computer Vision Blog computervisionblog.com
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Deep Learning by Prof. Yann LeCun cilvr.cs.nyu.edu
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[Paper-arXiv15] arxiv.org
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Gradient Descent in Practice 2: Learning Rate youtube.com
How to adjust the learning rate of a neural network.
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Diagnosing Bias vs Variance youtube.com
Understanding bias and variance in the predictions of a neural net and how to address those problems.
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Attention Mechanisms in Recurrent Neural Networks (RNNs) - IGGG youtube.com
A talk for a reading group on attention mechanisms (Paper: Neural Machine Translation by Jointly Learning to Align and Translate).
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Growing Neat Software Architecture from Jupyter Notebooks youtube.com
A primer on how to structure your Machine Learning projects when using Jupyter Notebooks.
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Deep Learning Lecture 12: Recurrent Neural Nets and LSTMs youtube.com
Unfolding of RNN graphs is explained properly, and potential problems about gradient descent algorithms are exposed.
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Deep Learning & Machine Learning (Advanced topics) youtube.com
A list of videos about deep learning that I found interesting or useful, this is a mix of a bit of everything.
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Siraj's Channel youtube.com
Siraj has entertaining, fast-paced video tutorials about deep learning.
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SOLID Machine Learning umaneo.com
The SOLID principles applied to Machine Learning.
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Machine Learning for Trading by Georgia Tech udacity.com
Interesting class for acquiring basic knowledge of machine learning applied to trading and some AI and finance concepts. I especially liked the section on Q-Learning.
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Deep Learning by Google udacity.com
Good intermediate to advanced-level course covering high-level deep learning concepts, I found it helps to get creative once the basics are acquired.
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NLP's ImageNet moment has arrived thegradient.pub
All hail NLP's ImageNet moment.
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Improving Inception and Image Classification in TensorFlow research.googleblog.com
Very interesting CNN architecture (e.g.: the inception-style convolutional layers is promising and efficient in terms of reducing the number of parameters).
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