Pinned Repositories
ai-conference-analysis
Analyse code release trends from NeurIPS 2019
cgan-denoiser
Tensorflow/Keras implementation of a Conditional Generative Adversarial Network (CGAN) model that can be used for image denoising or artefact removal.
ChainRulesCore.jl
It is like recipes but for AD! (Full functionality is in ChainRules.jl but this a light weight dependency just to define sensitivities for your functions in your packages)
ChainRulesTestUtils.jl
Utilities for testing custom AD primatives.
ChaoS
Chaotic Sensing (ChaoS)
char-rnn-tensorflow
Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow
compare-mab
Compare and visualise multi-arm bandit strategies
ddpg-replica
Personal project to reproduce the deep deterministic policy gradient method
llm-paper-data-retrieval
mlp-project
Improving extrapolation in neural mathematical reasoning using number segmentation and invariant risk minimization.
bencottier's Repositories
bencottier/cgan-denoiser
Tensorflow/Keras implementation of a Conditional Generative Adversarial Network (CGAN) model that can be used for image denoising or artefact removal.
bencottier/compare-mab
Compare and visualise multi-arm bandit strategies
bencottier/llm-paper-data-retrieval
bencottier/ai-conference-analysis
Analyse code release trends from NeurIPS 2019
bencottier/ChainRulesCore.jl
It is like recipes but for AD! (Full functionality is in ChainRules.jl but this a light weight dependency just to define sensitivities for your functions in your packages)
bencottier/ChainRulesTestUtils.jl
Utilities for testing custom AD primatives.
bencottier/ChaoS
Chaotic Sensing (ChaoS)
bencottier/char-rnn-tensorflow
Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow
bencottier/ddpg-replica
Personal project to reproduce the deep deterministic policy gradient method
bencottier/mlp-project
Improving extrapolation in neural mathematical reasoning using number segmentation and invariant risk minimization.
bencottier/classic-rl
A test bed for classical reinforcement learning algorithms in simple toy environments
bencottier/deap
Distributed Evolutionary Algorithms in Python
bencottier/Deep-MRI-Reconstruction
Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo
bencottier/DPLL
Implementation of the Davis-Putnam-Logemann-Loveland algorithm
bencottier/DRL-TF2
Deep reinforcement learning algorithms implemented in TensorFlow 2.0
bencottier/GANCS
Fork of gongenhao/GANCS
bencottier/hello-world
The first repository of a basic Geeson.
bencottier/lm-evaluation-harness
A framework for few-shot evaluation of autoregressive language models.
bencottier/logicheck
A tool for testing boolean and propositional logic
bencottier/ml-parameter-count
bencottier/mlpractical-1
Machine Learning Practical course repository
bencottier/neat-python
Python implementation of the NEAT neuroevolution algorithm
bencottier/PlotNeuralNet
Latex code for making neural networks diagrams
bencottier/pureples
Pure Python Library for ES-HyperNEAT. Contains implementations of HyperNEAT and ES-HyperNEAT.
bencottier/tensorflow
Computation using data flow graphs for scalable machine learning
bencottier/toy-motion-planner
Motion planning in a simple 2D environment