Pinned Repositories
CastHelloVideo-chrome
Google Cast Chrome Sender SDK Demo App: Hello Videos
cblocks
cgroupspy
Python library for managing cgroups
cnn-quantization
Quantization of Convolutional Neural networks.
coralmicro
Source code for Coral Dev Board Micro
darknet
Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection
DeepSpeech-Keras
A Keras implementation of Speach-To-Text architectures
django-image-annotation-tool
keras-rl
Deep Reinforcement Learning for Keras.
nlopt
library for nonlinear optimization, wrapping many algorithms for global and local, constrained or unconstrained, optimization
tbags's Repositories
tbags/django-image-annotation-tool
tbags/CastHelloVideo-chrome
Google Cast Chrome Sender SDK Demo App: Hello Videos
tbags/cblocks
tbags/cgroupspy
Python library for managing cgroups
tbags/cnn-quantization
Quantization of Convolutional Neural networks.
tbags/coralmicro
Source code for Coral Dev Board Micro
tbags/darknet
Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection
tbags/DeepSpeech-Keras
A Keras implementation of Speach-To-Text architectures
tbags/keras-rl
Deep Reinforcement Learning for Keras.
tbags/nlopt
library for nonlinear optimization, wrapping many algorithms for global and local, constrained or unconstrained, optimization
tbags/CtCI-6th-Edition
Cracking the Coding Interview 6th Ed. Solutions
tbags/desk_nanny
tbags/esp
tbags/examples
Examples for Bazel
tbags/fbpcf
Private computation framework library allows developers to perform randomized controlled trials, without leaking information about who participated or what action an individual took. It uses secure multiparty computation to guarantee this privacy. It is suitable for conducting A/B testing, or measuring advertising lift and learning the aggregate statistics without sharing information on the individual level.
tbags/fbpcs
FBPCS (Facebook Private Computation Solutions) leverages secure multi-party computation (MPC) to output aggregated data without making unencrypted, readable data available to the other party or any third parties. Facebook provides impression & opportunity data, and the advertiser provides conversion / outcome data. Both parties have dedicated cloud computing instances living on separate Virtual Private Clouds (VPCs) that are connected to allow network communication. The FBPMP products that have been implemented are Private Lift and Private Attribution. It’s expected that more products will be implemented and added to the Private Measurement suite.
tbags/grpc.github.io
The grpc.io website. (on GitHub pages)
tbags/gym
A toolkit for developing and comparing reinforcement learning algorithms.
tbags/learngo
1000+ Hand-Crafted Go Examples, Exercises, and Quizzes
tbags/m2s_ref
tbags/msp430-freertos-smartwatch
A smartwatch using FreeRTOS under MSP430F5438
tbags/oh-my-zsh
🙃 A delightful community-driven (with 1,300+ contributors) framework for managing your zsh configuration. Includes 200+ optional plugins (rails, git, OSX, hub, capistrano, brew, ant, php, python, etc), over 140 themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.
tbags/pi
tbags/qkeras
QKeras: a quantization deep learning library for Keras
tbags/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
tbags/riscv-opcodes
RISC-V Opcodes
tbags/stanford-cs193g-sp2010
Automatically exported from code.google.com/p/stanford-cs193g-sp2010
tbags/ti_diya
tbags/verlog
tbags/vim_digs