Pinned Repositories
2018AICITY_Maryland
2018AICITY_MCPRL
2019AICITY_Code_From_Top_Teams
The code from the top teams in the 2019 AI City Challenge
2020AICITY_Code_From_Top_Teams
The code from the top teams in the 2020 AI City Challenge
2021AICITY_Code_From_Top_Teams
The code from the top teams in the 2021 AI City Challenge (not in any particular order)
2022AICITY_Code_From_Top_Teams
codes from top teams of AI City Challenge 2022
3D-Shape-Analysis-Paper-List
A list of recent papers, libraries and datasets about 3D shape/scene analysis (by topics, updating).
3D_multiview_reg
[CVPR2020] Learning multiview 3D point cloud registration
learning_ros
repository to accompany "A Systematic Approach to Learning Robot Programming with ROS"
tiny-cuda-nn
Lightning fast & tiny C++/CUDA neural network framework
Chomolungma's Repositories
Chomolungma/awesome-random-forest
Random Forest - a curated list of resources regarding random forest
Chomolungma/bips
Bitcoin Improvement Proposals
Chomolungma/bitcoin
Bitcoin Core integration/staging tree
Chomolungma/bitcoinbook
Mastering Bitcoin 2nd Edition - Programming the Open Blockchain
Chomolungma/caffe_ros
Package containing nodes for deep learning in ROS.
Chomolungma/carla
Open-source simulator for autonomous driving research.
Chomolungma/CarND-Advanced-Lane-Lines
Chomolungma/cpp-ethereum
Ethereum C++ client
Chomolungma/Deep-Learning-with-Keras
Code repository for Deep Learning with Keras published by Packt
Chomolungma/deep_nav_layers
A series of plugins to the ROS navigation stack to incorporate deep learning inputs.
Chomolungma/GamePhysicsCookbook
Source code for GamePhysicsCookbook
Chomolungma/grasping
Chomolungma/jetson-inference
Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and Jetson TX1/TX2.
Chomolungma/jetson-reinforcement
Deep reinforcement learning libraries for Jetson with pyTorch and openAI Gym
Chomolungma/jetsonTX1GPIO
A straightforward library to interface with the Jetson TX1 GPIO pins
Chomolungma/kaggle-titanic
A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstartes basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.
Chomolungma/libblkmaker
MIT-licensed C implementation of getblocktemplate
Chomolungma/MerkleSet
A highly performant merkle set data structure. To be ported to C later.
Chomolungma/miniplaces
MiniPlaces Challenge: an Educational Tool for Deep Learning in Computer Vision
Chomolungma/models
Models and examples built with TensorFlow
Chomolungma/nlp_survey
Chomolungma/nvprof-tools
Python tools for NVIDIA Profiler
Chomolungma/places365
The Places365-CNNs for Scene Classification
Chomolungma/placeschallenge
The Toolkit for Places Challenge 2017
Chomolungma/practical-ml-w-python
Source code for 'Practical Machine Learning with Python' by Dipanjan Sarkar, Raghav Bali, and Tushar Sharma
Chomolungma/pro-deep-learning-w-tensorflow
Source code for 'Pro Deep Learning with TensorFlow' by Santanu Pattanayak
Chomolungma/rnn-tutorial-rnnlm
Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano
Chomolungma/SFD
S³FD: Single Shot Scale-invariant Face Detector
Chomolungma/START-Summit-2017-Blockchain-Machine-Learning-Workshop
Presentation Material and Sample Code from the DataReply Blockchain and Machine Learning Workshop at START Summit 2017 in Switzerland
Chomolungma/tensorflow
Computation using data flow graphs for scalable machine learning