pclucas14

PhD Student @mila-iqia with Joelle Pineau

Montreal, QC

Pinned Repositories

mttl
Building modular LMs with parameter-efficient fine-tuning.
Language:Python97 11 1815
adaptive-quantization-modules
Code for "Online Learned Continual Compression with Adaptive Quantization Modules"
Language:Python27 4 15
AML
Language:Python25 5 16
GansFallingShort
Code for "Language GANs Falling Short"
Language:Jupyter Notebook59 6 811
iaf-vae
Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"
Language:Python80 3 313
lidar_generation
Code for "Deep Generative Models for LiDAR Data"
Language:Jupyter Notebook79 4 2320
pixel-cnn-pp
Pytorch Implementation of OpenAI's PixelCNN++
Language:Python347 8 2476
processed-kitti-lidar
Language:Python5 3 10
pytorch-glow
Pytorch Implementation of OpenAI's GLOW
Language:Python93 4 217
vq-vae
Pytorch implementation of "Neural Discrete Representation Learning"
Language:Python8 2 11

pclucas14's Repositories

pclucas14/pixel-cnn-pp
Pytorch Implementation of OpenAI's PixelCNN++
Language:Python347 8 2476
pclucas14/iaf-vae
Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"
Language:Python80 3 313
pclucas14/lidar_generation
Code for "Deep Generative Models for LiDAR Data"
Language:Jupyter Notebook79 4 2320
pclucas14/adaptive-quantization-modules
Code for "Online Learned Continual Compression with Adaptive Quantization Modules"
Language:Python27 4 15
pclucas14/vq-vae
Pytorch implementation of "Neural Discrete Representation Learning"
Language:Python8 2 11
pclucas14/processed-kitti-lidar
Language:Python5 3 10
pclucas14/basic_reinforcement_learning
An introduction series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
Language:Jupyter Notebook3 4 00
pclucas14/aux-vae
Language:Python2 1 00
pclucas14/action_conditional_pred
Language:Python1
pclucas14/aux_vae
Auxiliary Guided Variational Auto Encoders
Language:Python1 4 0
pclucas14/Biological_Learning
Example of "biological" learning for MNIST
Language:Jupyter Notebook1 1 01
pclucas14/distributional_rl
Language:Python1 3 02
pclucas14/GRAN
Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019
Language:C++1 2 0
pclucas14/mbpa
Model Based Parameter Adaptation (MbPA) https://arxiv.org/pdf/1802.10542.pdf
Language:Python1 3 01
pclucas14/transformer-MADE
Language:Jupyter Notebook1 2 0
pclucas14/ANML
A Neuromodulated Meta-Learning algorithm
Language:Python1 0
pclucas14/cite
Implementation for our paper "Conditional Image-Text Embedding Networks"
Language:Python
pclucas14/e2c
Language:Python2 12
pclucas14/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Language:Python1 0
pclucas14/FM-GAN
Tensorflow implementation for paper "Adversarial Text Generation via Feature-Mover’s Distance"
Language:Python2 0
pclucas14/higher
higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.
Language:Python1 0
pclucas14/ift6266
conditional image generation
Language:Python1 0
pclucas14/Lidar
Language:Python1 0
pclucas14/Master-Template
Template and style files for ICLR
Language:TeX1 0
pclucas14/pytorch-vq-vae
PyTorch implementation of VQ-VAE by Aäron van den Oord et al.
Language:Jupyter Notebook1 0
pclucas14/recurrent_linear
Language:Python2 0
pclucas14/rlrl
Language:Python3 0
pclucas14/swav
PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882
Language:Python1 0
pclucas14/VectorQuantizedVAE
A PyTorch implementation of "Continuous Relaxation Training of Discrete Latent Variable Image Models"
Language:Jupyter Notebook1 0
pclucas14/wgan-gp
A pytorch implementation of Paper "Improved Training of Wasserstein GANs"
Language:Python1 0