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60_days_rl_challenge

Learn Deep Reinforcement Learning in depth in 60 days

antipasti-tf

Antipasti-TF is a lightweight wrapper around Tensorflow for building convolutional neural networks with complex architechtures.

autograd

Efficiently computes derivatives of numpy code.

awesome-cmake

A curated list of awesome CMake resources, scripts, modules and examples.

awesome-distributed-systems

Awesome list of distributed systems resources

b2

Bertini 2.0: The redevelopment of Bertini in C++.

bayes-nn

Lecture notes on Bayesian deep learning

berkeleydeeprlcourse

bertini_real

software for real algebraic sets

bertini_tropical

Numerical decomposition of real and complex tropical curves

bspline

B-Spline practice

bullet3

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

cgold

:whale2: The Hitchhiker’s Guide to the CMake

cis565-fall-2020.github.io

Website for CIS 565 GPU Programming and Architecture Fall 2020 at the University of Pennsylvania

closer-memory

cmaketutorial

CMake中文实战教程

complexpytorch

A high-level toolbox for using complex valued neural networks in PyTorch

computer-room-monitoring-system

Distributed computer room monitoring system. :office: :cloud: :warning:

course

Source code for the applications presented in the course "Geometry Processing with Discrete Exterior Calculus"

cs231n.github.io

Public facing notes page

cs231n_solution

cuda-stream-compaction

Stream Compaction technique and a performance analysis of the same

cuda_voxelizer

CUDA Voxelizer to convert polygon meshes into annotated voxel grids

cudautil

Some useful code for cuda programming

cvxalggeo

A small Sage package for Polynomial Optimization using tools from real algebraic geometry.

ddg-exercises-js

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

dgemm

Tutorial: Writing R and Python Packages with Multithreaded C++ Code using BLAS, AVX2/AVX512, OpenMP, C++11 Threads and Cuda GPU acceleration

differentiation

useful code for understanding tensorflow

dmpbbo

C++ library for Function Approximation, Dynamical Movement Primitives, and Black-Box Optimization