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Source channel @devilsbelow · Post #464 · Jan 20

🌐Weekly News Digest [ January 12 – January 18 ] That was a week full of DRCongo's attempts to indulge its American partners. 💡Here are the key highlights: 🇧🇯 Benin — Singapore-based company will launch oil production at a 56-year old oil field 🇨🇩 DR Congo — DRC to Send 100,000 Tonnes of Copper to the US — DRC is preparing to send the US a list of mineral projects for American investors to take over — State company Gécamines proposes a deal to obtain a mining company, whose sale it has been blocking 🇬🇭 Ghana — Ghana is considering ending contracts that allow companies to keep legacy royalty and tax rates 🇲🇱 Mozambique — The Migration Service detained 5 Chinese and other foreign nationals for informal gold mining and unlawful stay 🇳🇬 Nigeria — Former Warlord Buys American Drones to Hunt for Oil Thieves in Nigeria 🇸🇩 Sudan — 10 Killed in a Collapse of Five Gold Mines in South Kordofan 🇿🇲 Zambia — Two Zambian workers died on January 13 at Mopani Copper Mines’ shaft in Kitwe 🇿🇼 Zimbabwe — Harare creates a monopoly on rehabilitation of rivers polluted by gold mining — The government is taking back a gold mine from a local football club #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