iTharindu

generalised-quantifiers-model-checking

We investigate how generalised quantifiers affect the behaviour of transformer-based language models employing the textual entailment problem defined in a purely logical sense, namely, model-checking with natural language.

aaivu-dialogue-policy-optimization

Dialogue policy optimization in low resource setting

aaivu-task-oriented-conversational-agent

Building a task-oriented conversational agent for low resource setting using RL for dialogue policy optimization and ensembling for Natural Language Understanding

accelerate

🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

ccg2lambda

Provide Semantic Parsing solutions and Natural Language Inferences for multiple languages following the idea of the syntax-semantics interface.

hand-movement-tracking

System to identify and track hand movements in a video stream with a ego centric view point

Chain-of-ThoughtsPapers

A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".

deep-reinforcement-learning

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

human-right-sllchrm

image-gpt

iTharindu.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

language_fragments

lecture-python-advanced.notebooks

Notebooks that support https://python-advanced.quantecon.org

lecture-python.notebooks

Notebooks for https://python.quantecon.org

LoRA

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

MathBlackBox

nl-sat

We probe Transformer-based language models' ability to solve Natural Language Satisfiability problem instances of varying computational complexity

peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

playground-huggingface-learn

rainbow-is-all-you-need

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

reasoning-withing-a-structure

Identifying the limits of Transformers in the problem of model-checking with natural language and determine whether they can learn to understand logical semantics of natural language

reinforcement-learning-algorithmns

Implementation of Reinforcement Learning Algorithms using Pytorch. Value-based methods, Policy based methods as well as Actor-critic methods will be implmented

SLLCHRM

stable-diffusion-webui-automatic111

Stable Diffusion web UI

stablediffusion

High-Resolution Image Synthesis with Latent Diffusion Models

text2log

Character-based seq2seq models (english => predicate logic)

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

TransQuest

Transformer based translation quality estimation