lyogavin / airllm
Python library that runs large language model inference layer by layer, so 70B-class models fit on a single 4GB GPU without quantization.
lyogavin / airllm
microsoft / AI-For-Beginners
A 12-week, 24-lesson beginner curriculum covering AI fundamentals, neural networks, computer vision, NLP, and AI ethics with TensorFlow and PyTorch labs.
mrdbourke / zero-to-mastery-ml
Course materials, code, notebooks and datasets for the Zero to Mastery Machine Learning and Data Science course.
AI4Finance-Foundation / FinRL
Open-source Python framework for training and backtesting financial trading agents with deep reinforcement learning.
microsoft / ML-For-Beginners
A 12-week, 26-lesson beginner curriculum on classic machine learning using Scikit-learn, with quizzes and projects in Python and R.
google-research / google-research
Monorepo of research code and datasets released by Google Research, spanning many subprojects.
ShuhongLL / SGS-SLAM
Semantic Gaussian Splatting SLAM system that jointly optimizes appearance, geometry, and semantic features for dense neural mapping.
GokuMohandas / Made-With-ML
A free course teaching how to design, develop, deploy, and iterate on production-grade machine learning applications in Python.
UFund-Me / Qbot
Open-source AI-oriented quantitative investment platform covering data, strategy research, backtesting, simulated and live trading.
udlbook / udlbook
Source repository for Simon Prince's textbook Understanding Deep Learning, with LaTeX sources, figures, and Jupyter notebooks.
facebookresearch / segment-anything
Inference code, checkpoints, and notebooks for Meta's Segment Anything Model (SAM), which produces object masks from points, boxes, or automatically for whole images.
zju3dv / GVHMR
Research code for GVHMR, a method that recovers world-grounded 3D human motion from video using gravity-view coordinates.
facebookresearch / audiocraft
PyTorch library for audio generation research, providing inference and training code for MusicGen, AudioGen, and EnCodec.
higgsfield-ai / higgsfield
Open-source GPU cluster orchestrator and PyTorch-based framework for training LLMs with billions to trillions of parameters.
CompVis / stable-diffusion
Reference code for Stable Diffusion, a latent text-to-image diffusion model that generates images from text prompts.
facebookresearch / sam2
Meta's Segment Anything Model 2 for promptable segmentation in images and videos, with inference code, checkpoints, and example notebooks.
openai / CLIP
A neural network from OpenAI that scores how well text snippets match images, trained on image-text pairs for zero-shot prediction.
DataTalksClub / machine-learning-zoomcamp
A free, cohort-based course teaching ML engineering: training models, exposing them via APIs, and deploying with Docker, Kubernetes, and AWS Lambda.
NVIDIA-NeMo / Nemotron
Developer hub with training recipes, cookbooks, datasets, and end-to-end examples for building with NVIDIA's open Nemotron models.
pyannote / pyannote-audio
Python toolkit for speaker diarization built on PyTorch, with pretrained pipelines and models that can be fine-tuned on your own data.
AI4Finance-Foundation / FinGPT
Open-source large language models and tooling for financial tasks such as sentiment analysis, forecasting, and robo-advisory.
shap / shap
Python library that computes Shapley-value explanations for the predictions of any machine learning model.
karpathy / nn-zero-to-hero
A video course with Jupyter notebooks that builds neural networks and backpropagation from scratch, from basics to Transformer language models.