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Source channel @devilsbelow · Post #494 · Feb 2

🌐Weekly News Digest [ January 26 – February 1 ] That was a week of bribery charges and expansion of extraction activities across the whole continent. 💡Here are the key highlights: 🇩🇿 Algeria — Algeria’s minister for hydrocarbons visits Chad and Niger 🇨🇬 Congo — Two Norwegians and an oil company charged with bribing Congo’s president 🇨🇩 DR Congo — The leader of the AFC/M23 critisizes the US-DRC strategic agreement on access to minerals — More than 200 killed in a collapse at the AFC/M23-controlled Rubaya coltan mines in eastern DRC 🇱🇷 Liberia — Liberia ratified an agreement with the Luxembourg-based ArcelorMittal, extending the company’s rights to the Tokadeh iron deposit until 2075 🇲🇱 Mali — China’s largest mining company, Zijin buys Canadian company Allied Gold 🇲🇬 Madagascar — Madagascar has lifted its 2010 moratorium on new mining permits, except for gold 🇲🇿 Mozambique — TotalEnergies officially resume the Mozambique LNG project 🇳🇬 Nigeria — Nigeria’s President Bola Tinubu grants tax incentives to speed up Shell’s Bonga South West oil project — TotalEnergies sells its 10% stake in a Nigerian oil asset to a brand new local firm — A bribery trial of a former Nigerian minister of petroleum opens in London 🇸🇩 Sudan — Sudan seeks closer alignment with Saudi Arabia, including gold refinement 🇿🇲 Zambia — Zambia’s army carries out a full-fledged military operation around a gold deposit in the northwest of the country 🇿🇼 Zimbabwe — Illegal miners blamed for water supply disruptions in Zimbabwe's second largest city — Zimbabwe starts early implementation of increased royalties on gold mining #NewsDigest ➡️ Follow to stay informed - @devilsbelow

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djangoproject

@djangoproject · Post #274 · 03/18/2017, 01:48 AM

https://github.com/riga/tfdeploy Google's TensorFlow framework is taking off big-time now that it's at a full 1.0 release. One common question about it: How can I make use of the models I train in TensorFlow without using TensorFlow itself? #Tfdeploy is a partial answer to that question. It exports a trained TensorFlow model to "a simple #NumPy-based callable," meaning the model can be used in Python with Tfdeploy and the the NumPy math-and-stats library as the only dependencies. Most of the operations you can perform in TensorFlow can also be performed in Tfdeploy, and you can extend the behaviors of the library by way of standard Python metaphors (such as overloading a class). Now the bad news: Tfdeploy doesn't support GPU acceleration, if only because NumPy doesn't do that. Tfdeploy's creator suggests using the gNumPy project as a possible replacement. #Machine_learning