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100 Days of ML Coding
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Huly — All-in-One Project Management Platform (alternative to Linear, Jira, Slack, Notion, Motion)
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Toolkit for linearizing PDFs for LLM datasets/training
A collection of algorithms and data structures
FilmCraft: An open-source, nonlinear video editor written by scratch in pure Rust
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.
Google's Operations Research tools:
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...
The truly free, open-source, local-first, cross-platform CapCut replacement. Scriptable through a JSON-RPC API & MCP.
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Statsmodels: statistical modeling and econometrics in Python
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
CUDA Templates and Python DSLs for High-Performance Linear Algebra
Open source transactional distributed database. Linear scalability and proven fault-tolerance on commodity hardware or cloud infrastructure without compromising performance.
⚡ Project management that doesn't become the project. Boards, Gantt charts, and GitHub integration. Self-host it or use Kaneo Cloud.
A 2.78-trillion-parameter Kimi K3 running inference on a single CPU in 8.24 GB of RAM. Portable C99: no BLAS, no framework, no GPU.
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Statistical Machine Intelligence & Learning Engine
A library for visualization and creative-coding