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hazeremoval

hierarchical_il_rl

Code for hierarchical imitation learning and reinforcement learning

hog2

Automatically exported from code.google.com/p/hog2

image-text-localization-recognition

A general list of resources to image text localization and recognition 场景文本位置感知与识别的论文资源与实现合集 シーンテキストの位置認識と識別のための論文リソースの要約

imitation

Code for the paper "Generative Adversarial Imitation Learning"

imitation-1

A clean implementation of imitation learning algorithms

improved-gan

Code for the paper "Improved Techniques for Training GANs"

incremental-network-quantization

Caffe Implementation for Incremental network quantization

iresnet

irl-imitation

Implementation of Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

iverilog

Icarus Verilog

keras-applications

Reference implementations of popular deep learning models.

keras-gan

Keras implementations of Generative Adversarial Networks.

keras-rl

Deep Reinforcement Learning for Keras.

keras_deeplearning_example

kryon

FPGA,Verilog,Python

lantern

🔴Lantern Latest Download https://github.com/getlantern/lantern/releases/tag/latest 🔴蓝灯最新版本下载 https://github.com/getlantern/forum/issues/833 🔴

lapidary

Creating beautiful gem5 simulations

lazy-theta-with-optimization-any-angle-pathfinding

learning_gem5

Learning gem5 is a work-in-progress book to help gem5 users get started using gem5.

lhy_dl_hw

linux-kernel-module-cheat

The perfect emulation setup to study and develop the Linux kernel v5.4.3, kernel modules, QEMU, gem5 and x86_64, ARMv7 and ARMv8 userland and baremetal assembly, ANSI C, C++ and POSIX. GDB step debug and KGDB just work. Powered by Buildroot and crosstool-NG. Highly automated. Thoroughly documented. Automated tests. "Tested" in an Ubuntu 19.10 host.

main_mister

Main MiSTer binary and Wiki

marl-papers

Paper list of multi-agent reinforcement learning (MARL)

mcpat

An integrated power, area, and timing modeling framework for multicore and manycore architectures

mips-cpu

MIPS CPU implemented in Verilog

mips32-cpu

奋战一学期，造台计算机（编译出的bit文件在release中，可以直接食用）

ml-notes

notes about machine learning

ml_mindmap

model-compression

model compression based on pytorch (1、quantization: 16/8/4/2 bits(dorefa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、ternary/binary value(twn/bnn/xnor-net)；2、 pruning: normal、regular and group convolutional channel pruning；3、 group convolution structure；4、batch-normalization folding for quantization)