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Tensors and Dynamic neural networks in Python with strong GPU acceleration
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
We write your reusable computer vision tools. 💜
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
Finetune Llama 3.3, Mistral, Phi, Qwen 2.5 & Gemma LLMs 2-5x faster with 70% less memory
An open-source RAG-based tool for chatting with your documents.
A paper list of object detection using deep learning.
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
Things you can do with the token embeddings of an LLM
A toolkit to create optimal Production-readyRetrieval Augmented Generation(RAG) setup for your data
gradslam is an open source differentiable dense SLAM library for PyTorch
Related papers and codes for vision-based robotic grasping
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
MobileLLM Optimizing Sub-billion Parameter Language Models for On-Device Use Cases. In ICML 2024.
SAPIEN Manipulation Skill Framework, a open source GPU parallelized robotics simulator and benchmark, led by Hillbot, Inc.
"DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion" code repository