ldfrancis
Deep Reinforcement Learning, Compression, and Computer Vision.
AISaturdaysLagosLagos, Nigeria.
ldfrancis's Stars
openai/whisper
Robust Speech Recognition via Large-Scale Weak Supervision
zziz/pwc
This repository is no longer maintained.
ShangtongZhang/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
chiphuyen/stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
quic/aimet
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
instadeepai/Mava
🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
RockyXu66/Faster_RCNN_for_Open_Images_Dataset_Keras
Faster R-CNN for Open Images Dataset by Keras
totex/Learn-OpenGL-in-python
All the source codes from my youtube tutorial series called "OpenGL in python".
guanlongzhao/fac-via-ppg
Foreign Accent Conversion by Synthesizing Speech from Phonetic Posteriorgrams (Interspeech'19)
ermongroup/tile2vec
Implementation and examples for Tile2Vec
zyxue/sutton-barto-rl-exercises
📖Learning reinforcement learning by implementing the algorithms from reinforcement learning an introduction
kantologist/multiagent-sac
Implementation of centralized training, centralized execution of Soft Actor-Critic (SAC) on a Tennis multiagent Unity environment.
AISaturdaysLagos/Cohort3
jerryduncan/Cartoonize
A computer vision model that create cartoon effect for images
JedidiMohamed/Winning-Solution-Of-The-Traffic-Jam-Predicting-People-s-Movement-into-Nairobi-
Winning Solution of the traffic jam predicting people's movement into Nairobi challenge hosted on Zindi platform
eghouti/HAET-2022-competition-baseline-code
timi-ty/minicv
Intro to the basics of computer vision using python
Merkll/llcolorizer
low-level colorizer
RihabGorsan/Collaboration_Competition_DDPG
Considered the third project in the Deep Reinforcement Learning Nanodegree Program, the goal is to train two agents to play Tennis using DDPG algorithm.