eagle-chase's Stars
karpathy/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
karpathy/LLM101n
LLM101n: Let's build a Storyteller
Stability-AI/generative-models
Generative Models by Stability AI
mcinglis/c-style
My favorite C programming practices.
karpathy/llm.c
LLM training in simple, raw C/CUDA
Stability-AI/stablediffusion
High-Resolution Image Synthesis with Latent Diffusion Models
JonathonLuiten/Dynamic3DGaussians
graphdeco-inria/gaussian-splatting
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
LinShan-Bin/OccNeRF
Code of "OccNeRF: Advancing 3D Occupancy Prediction in LiDAR-Free Environments".
AlmoonYsl/QTNet
[NeurIPS 2023] Query-based Temporal Fusion with Explicit Motion for 3D Object Detection
tanglang96/DataLoaders_DALI
PyTorch DataLoaders implemented with DALI for accelerating image preprocessing
karpathy/ng-video-lecture
luosiallen/latent-consistency-model
Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference
Abyssaledge/ImmortalTracker-for-CTRL
wzzheng/PointOcc
Efficient Point-based 3D Semantic Occupancy Prediction
Abyssaledge/TorchEx
Collection of PyTorch customized operators.
traveller59/spconv
Spatial Sparse Convolution Library
bmild/nerf
Code release for NeRF (Neural Radiance Fields)
tusen-ai/SST
Code for a series of work in LiDAR perception, including SST (CVPR 22), FSD (NeurIPS 22), FSD++ (TPAMI 23), FSDv2, and CTRL (ICCV 23, oral).
PJLab-ADG/DetZero
[ICCV 2023] DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point Clouds
ros/ros
Core ROS packages
Significant-Gravitas/AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
karpathy/micrograd
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
eagle-chase/micrograd
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
facebookresearch/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
eagle-chase/hdmapnet-1
eagle-chase/HDMapNet