machine-learning
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
Repositories (1435)
JAX - A curated list of resources https://github.com/google/jax
nannyml: post-deployment data science in python
Sharing both practical insights and theoretical knowledge about LLM evaluation that we gathered while managing the Open LLM Leaderboard and designing...
Những kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.
Repository containing notebooks of my posts on Medium
C++ Implementation of PyTorch Tutorials for Everyone
SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
Machine Learning Course, Sharif University of Technology
A Node.js CLI that uses Ollama and LM Studio models (Llava, Gemma, Llama etc.) to intelligently rename files by their contents
Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)
Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.
DIAMOND (DIffusion As a Model Of eNvironment Dreams) is a reinforcement learning agent trained in a diffusion world model. NeurIPS 2024 Spotlight.
Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
.NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
Keras model of NSFW detector
Lightweight inference library for ONNX files, written in C++. It can run Stable Diffusion XL 1.0 on a RPI Zero 2 (or in 298MB of RAM) but also Mistral...
An on-premises, OCR-free unstructured data extraction, markdown conversion and benchmarking toolkit. (https://idp-leaderboard.org/)
计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估
A proof-of-concept jupyter extension which converts english queries into relevant python code
机器学习方法习题解答，在线阅读地址：https://datawhalechina.github.io/statistical-learning-method-solutions-manual
Humanoid-Gym: Reinforcement Learning for Humanoid Robot with Zero-Shot Sim2Real Transfer https://arxiv.org/abs/2404.05695
A simple interface for editing natural photos with generative neural networks.
Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
World's Best AI Aimbot - CS2, Valorant, Fortnite, APEX, every game
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network model...
Drawing Bayesian networks, graphical models, tensors, technical frameworks, and illustrations in LaTeX.
Python Stream Processing
:cloud: :rocket: :bar_chart: :chart_with_upwards_trend: Evaluating state of the art in AI
An AI for Music Generation
List of awesome resources for machine learning-based algorithmic trading
The RF and reverse engineering framework for everyone. Follow and ★ to show your support!
Deep and online learning with spiking neural networks in Python
🤖 A powerful, lightweight JavaScript library + interactive CLI for ChatGPT
The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.
🤖 A Python library for learning and evaluating knowledge graph embeddings
A high performance anime upscaler
A comprehensive mapping database of English to Chinese technical vocabulary in the artificial intelligence domain
Library for training machine learning models with privacy for training data
A collection of 1000+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML).
Demo for the "Talking Head Anime from a Single Image."
Scaled-YOLOv4: Scaling Cross Stage Partial Network
Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.
FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai
一些关于机器学习的学习资料与研究介绍
A curated list of research in machine learning systems (MLSys). Paper notes are also provided.
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)