liam0949 Goto Github PK

amazon-dsstne

Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models

awesome-awesomeness

A curated list of awesome awesomeness

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

bert-pytorch

Google AI 2018 BERT pytorch implementation

breaking_down_ood_detection

buildsparkwithidea

tutorial on build and debug spark source code with Idea

channel-lm-prompting

An original implementation of "Noisy Channel Language Model Prompting for Few-Shot Text Classification"

closerlookfewshot

source code to ICLR'19, 'A Closer Look at Few-shot Classification'

coolplayspark

酷玩 Spark: Spark 源代码解析、Spark 类库等

cyclical_annealing

dcloos

This repository contains the essential code for the paper Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training (ACL 2021).

deepinfomaxpytorch

Learning deep representations by mutual information estimation and maximization

few-shot

Repository for few-shot learning machine learning projects

few-shot-intent-detection

Few-Shot-Intent-Detection includes popular challenging intent detection datasets with/without OOS queries and state-of-the-art baselines and results.

few-shot-intent-ood

Code for the CLOLING paper "A Closer Look at Few-Shot Out-of-Distribution Intent Detection"

flask

A microframework based on Werkzeug, Jinja2 and good intentions

game-programmer

A Study Path for Game Programmer

generalization-causality

关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记

git-imerge

Incremental merge for git

hadoop

Mirror of Apache Hadoop

jmxtrans

jmxtrans

jna

Java Native Access

kafka-spark-consumer

High Performance Kafka Consumer for Spark Streaming. Now Support Spark 2.0 and Kafka 0.10

latextemplate

learn-python-the-hard-way

My answer for the book Learn Python The Hard Way

llm-ood

Code for the LREC-Coling 2024 paper "VI-OOD: A Unified Representation Learning Framework for Textual Out-of-distribution Detection"

maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

maml-pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mobius

C# and F# language binding and extensions to Apache Spark