biTree's repositories
BEVPerception-Survey-Recipe
Awesome BEV perception papers and cookbook for achieving SOTA results
brotli
Brotli compression format
Complex-Question-Answering-Evaluation-of-ChatGPT
A large-scale complex question answering evaluation of ChatGPT and similar large-language models
ControlNet
Let us control diffusion models!
DenseNet
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
DukeMTMC-attribute
23 hand-annotated attributes of Duke dataset
face-alignment-training
Training code for the networks described in "How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)" paper.
facenet
Face recognition using Tensorflow
glow
Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"
hok_env
Honor of Kings AI Open Environment of Tencent
Image-Generation-And-Translation
Results and Implementation Details of: "Image Generation and Translation with Disentangled Representations"
learning_based_planner-env_build
The repo develops a general and extensible RL environment for large-scale autonomous driving tasks.
LightCNN
A Light CNN for Deep Face Representation with Noisy Labels, TIFS 2018
llama
Inference code for LLaMA models
mapfe4mp
Official repository for Efficient Baselines for Motion Prediction in Autonomous Driving. Presented at CVPR and ICRA Workshops 2022, and ITSC conference 2022.
Market-1501_Attribute
27 hand-annotated attributes of Market-1501
mile
PyTorch code for the paper "Model-Based Imitation Learning for Urban Driving".
MTR
MTR: Motion Transformer with Global Intention Localization and Local Movement Refinement, NeurIPS 2022.
mx-maskrcnn
An MXNet implementation of Mask R-CNN
nebullvm
Plug and play modules to optimize the performances of your AI systems 🚀
NeuralTuringMachine
Tensorflow implementation of a Neural Turing Machine
openface
Face recognition with deep neural networks.
paper-qa
LLM Chain for answering questions from documents with citations
pqkmeans
Fast and memory-efficient clustering
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.
stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
superviseddescent
C++11 implementation of the supervised descent optimisation method
the-algorithm
Source code for Twitter's Recommendation Algorithm
the-algorithm-ml
Source code for Twitter's Recommendation Algorithm
Vision-Centric-BEV-Perception
Vision-Centric BEV Perception: A Survey