AI/ML Engineer's Projects
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Physical Symbolic Optimization
Latex code for making neural networks diagrams
Code Repository for "Applying Probabilistic Programming to Affective Computing"
Practical Deep Learning at Scale with MLFlow, published by Packt
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
A deep learning library for video understanding research.
QLoRA: Efficient Finetuning of Quantized LLMs
A collection of curated RAG (Retrieval Augmented Generation) resources.
Heterogeneous federated learning for graph super-resolution
A reinforcement learning framework based on MLX.
Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).
A scikit-learn compatible neural network library that wraps PyTorch
Github Action for Solanaizer
PyTorch implementation of SuperTML: Two-Dimensional Word Embedding for the Precognition on Structured Tabular Data paper
SWE-agent: Agent Computer Interfaces Enable Software Engineering Language Models
An unofficial implementation of paper 3D Gaussian Splatting for Real-Time Radiance Field Rendering by taichi lang.
TensorFlow documentation
A library for transfer learning by reusing parts of TensorFlow models.
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
Topological Deep Learning
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Train transformer language models with reinforcement learning.
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite